Ming Wu
Impact in
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- Traffic and Road Safety
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- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 18
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- Traffic and Road Safety 10
- Co-authors
- Jie Yang (28 shared papers)Zhirong Guo (27 shared papers)Xiao‐shu Hu (15 shared papers)Jinyi Zhou (42 shared papers)Yu Qin (24 shared papers)Joan Ozanne‐Smith (6 shared papers)Zuo-Feng Zhang (18 shared papers)Jinkou (Button) Zhao (18 shared papers)
- Journals
- International Journal of Cancer (8 papers)BMC Public Health (5 papers)The Lancet (4 papers)PLoS ONE (4 papers)BMJ Open (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Ming Wu
165 papers receiving 4.8k citations
Ming Wu's Hit Papers
Peers
Comparison fields: 5 of 153
- Safety, Risk, Reliability and Quality 287
- Endocrinology, Diabetes and Metabolism 446
- Cancer Research 312
- Oncology 420
- Cardiology and Cardiovascular Medicine 403
Countries citing papers authored by Ming Wu
This map shows the geographic impact of Ming Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ming Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ming Wu more than expected).
Fields of papers citing papers by Ming Wu
This network shows the impact of papers produced by Ming Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ming Wu. The network helps show where Ming Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ming Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 172 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cancer survival in C hina, 2003–2005: A population‐based study Hit paper breakdown → | 2014 | 540 |
| 2 | 2015 | 354 | |
| 3 | 2017 | 197 | |
| 4 | 2019 | 143 | |
| 5 | 2018 | 138 | |
| 6 | 2013 | 127 | |
| 7 | 2020 | 125 | |
| 8 | 2020 | 121 | |
| 9 | Evolution of hepatitis B virus liver disease after hepatic replacement. Practical and theoretical considerations. | 1990 | 107 |
| 10 | 2009 | 107 | |
| 11 | 2020 | 106 | |
| 12 | 2014 | 99 | |
| 13 | 2008 | 95 | |
| 14 | 2018 | 78 | |
| 15 | 2013 | 77 | |
| 16 | 2006 | 72 | |
| 17 | 2018 | 71 | |
| 18 | 2017 | 70 | |
| 19 | 2014 | 69 | |
| 20 | 2014 | 64 |
About Ming Wu
Ming Wu is a scholar working on Endocrinology, Diabetes and Metabolism, Safety, Risk, Reliability and Quality, Cardiology and Cardiovascular Medicine, Public Health, Environmental and Occupational Health and Physiology, having authored 172 papers that have together received 4.9k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (18 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (18 papers), Nutritional Studies and Diet (13 papers), Genetic Associations and Epidemiology (13 papers), Traffic and Road Safety (10 papers), Esophageal Cancer Research and Treatment (9 papers), Smoking Behavior and Cessation (8 papers) and Blood Pressure and Hypertension Studies (8 papers). The work is most often cited by research in Safety, Risk, Reliability and Quality (287 citations), Endocrinology, Diabetes and Metabolism (446 citations), Cancer Research (312 citations), Oncology (420 citations) and Cardiology and Cardiovascular Medicine (403 citations). Ming Wu has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Jie Yang, Zhirong Guo, Xiao‐shu Hu, Jinyi Zhou, Yu Qin, Joan Ozanne‐Smith, Zuo-Feng Zhang, Jinkou (Button) Zhao, Karen N. Eggleston and Kara Hanson. Their work appears in journals such as International Journal of Cancer, BMC Public Health, The Lancet, PLoS ONE and BMJ Open.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.